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Pune, Maharashtra India
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Business Development
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Tags
applied statistics
analytics
biostatistics
certification
clinical trials
data mining
elearning
forecasting
life science
online course
online training
predictive analytics
big data
regression
r
prediction
multiple linear regression
stata
spss
design
anova
winbugs
normal distribution
survival analysis
sas
analysis
weibull
mode
panel models
missing data
simple linear regression
standard deviation
winsteps software
t-test
structural equation modeling
descriptive statistics
dr. madhav kulkarni
probability
time series
logistic regression
linear regression
scatterplots
vectors
matrices
multicollinearity
bootstrap
design of experiments
glm
proportions and variances
mean
cox proportional hazards model
avoiding loops
visualization
venn diagrams
r data structures
r data types
monte carlo simulation
proper lexical scoping
@risk
decision-making tool
percentiles
fault trees
crystal ball
modelrisk
risk modeling
event trees
kurtosis
risk analysis
quantitative risk analysis
skewness
continuous data
binary data
funnel plots
meta regression
cochrane collaboration
forest plots
treatment effect
meta analysis
campbell collaboration
weighted means
correlational data
validation data
predictive modeling
interactive data visualization
k-nearest neighbor
semma
neural nets
classification tree
functions
recoding data
r programming - intermediate
loops
importing data
data
discrete choice modeling and conjoint analysis
samples
random utility models
choices
panel data
choice studies
ranks
designing conjoint
ratings
surveys
interpretation
fixed-effects models
penalized logistic regression
multinomial probit regression
advanced logistic regression
proportional odds models
multinomial logistic regression
binary logistic regression
non-proportional models
gee
quasi-least squares models
random-effects models
monte carlo sampling median unbiased estimation
normalization
bioconductor
statistical analysis of microarray data with r
array normalization
multivariate techniques
data cleaning
affydata
welch test
t- test
wilcoxon rank sum test
concordance coefficients
signed rank test
microarrays
clustering
limma package
markov chain monte carlo
metropolis-hastings method
bayesian regression modeling via mcmc techniques
gibbs sampling
linear regression modeling in winbugs
evidence-based policy
risk analysis models
data structures
treemaps
arithmetic
summarizing data
dimensions
data manipulations
r programming - introduction
plotting data
multidimensional data
general linear modeling in winbugs
data frames
text data
heteroscedasticity
rstudio
random sample
median
stem-and-leaf plots
categorical variables
chi-squared
frequency distributions
parameters
range
box plots
histograms
survey of statistics for beginners
variance
probability models
variation
categorical response models
exact logistic regression
analysing longitudinal data using r
generalized estimating equations
modeling in r
mle
chi-square gof in r
one-sample t-test in r
permutation tests two-sample t-tests
bootstrapping in r
eda graphs
simple linear regression model in r
introduction to r - statistical analysis
odbc driver
sql procedures and functions
plyr function
wrangling and munging data with sql and r
joins in sql
or s+) to analyze survival analysis data.
kaplan-meier graphs
basic terminology and concepts
and interpretation of the logistic model
logistic model construction
binomial logistic regression and overdispersion
fit
ci and test
kaplan-meier method
relative risk (rr) and odds ratio (or)
roc curves
binary & binomial
bayesian computing and techniques
mcmc
poisson
normal
fractional factorial designs
taguchi designs
plackett-burman designs
box-wilson (central composite) designs
doe kiss software
full factorial designs
discriminant analysis
inference
multivariate statistics
correspondence analysis
population covariances
manova
derivative
calculus review
limits
integration
reshape2 function
weighted generalized estimating equations
mar
inverse probability weighting
mnar selection model
modeling incomplete data
sensitivity analysis
multiple imputation
pattern-mixture models
dose-response relationship
permutation tests
fisher's exact test
chi-square test
resampling methods
correlation
box-behnken designs
bayesian statistics
gaussian
ols
inference and association
chi-square
directional hypotheses
tests for two means
proportions; paired comparisons
confidence intervals for proportions and means
naive forecasts
visualizing time series
de-trending
regression-based models
forecasting vs. explanation
exponential smoothing
moving average (ma)
autoregressive (ar) models
xlminer regression tree
cart
generalized linear models
negative binomial
gamma
continuous response models
probit regression
cloglog
ordinary least squares
discrete response models
geometric
binomial models: logit
loglog
probit
count models: poisson
log-normal
x-bar chart
standard shewhart control charts
p chart
spc
c chart
r-chart
shewhart
x chart
statistical process control
interaction
regression inference
regression for prediction
general statistics
survival and hazard functions
and the extended cox model for time-varying covari
log-rank and related tests
predictive accuracy
smoothing-based methods
performance evaluation
time series components
data partitioning
forecasting analytics
statistical significance
point estimates
random sampling
contingency tables
categorical data
study design
statistics
six sigma
u chart
np-chart
two sample problem
devices
p-splines
dr. paul eilers
cross-validation
variance smoothing
density estimation
aic
tensor
b-splines
smoothing and p-spline techniques using r
dr. brian marx
smoothing
bayesian hierarchical and multi-level models
overdispersed regression
bayesian hierarchical models
conjugate hierarchical models
meta-analysis
statistical analysis plan
discoveries
dr. vidyadhar phadke
paal
generics
end point - count data
end point - non-normal
end point - normal
one sample problem
statistical issues in clinical trials
post-mi freee
alternative medicine
bias reduction
end point binary
sap
psychiatric therapy
phases
new drugs
decision rules
retrieval of documents
clustering of documents
linear models
parsing
text mining
probabilistic model
tokenization
riktext
em algorithm
predictive models
scalograms
dimensionality
reliability
measurement models
equating
anchoring
rating scales
beta-binomial
dr. peter congdon
logit-normal for binomial data
borrowing strength
search path
r programming – advanced
dr. oliva c. lau
lexical scoping
quantifying variation
dr. dennis roberts
educational testing
quantifying averages
z-scores
introduction to assessment and measurement
k-means clustering
data preparation
dr. nitin indurkhya
tmsk
dr. robert labudde
eigenvectors
quadratic forms
matrix inverse
matrix algebra review
symmetric matrices
eigenvalues
matricesmatrix multiplication
notation
linear equations
geometric interpretation
identity matricesmatrix multiplication
naive bayes classifiers
dr. luis torgo
microarray samples
data mining in r
data mining in r - learning with case studies
k-fold cross-validation
predictive modeling methods
political analytics
ken strasma
item-person maps
dichotomous data
jr
investigating text functioning
polytomous models
rescoring data
polytomous estimation
practical rasch measurement
excel
prettifying output
polytomous data
dr. everett v. smith
test equating
orthogonality
scalars
second order factor model
multilevel model
multiple-group model
mimic
multiple indicator
chi-square distribution
student's t distribution
gamma distribution
uniform distribution
poisson distribution
random variables
hypergeometric distribution
discrete
probability distributions
f-distribution
weibull distribution
exponential distribution
bernoulli distribution
classification methods
clustering methods
regression trees
random forests
data visualization
k-nearest neighbors
predicting algae blooms
structured means model
hlm
monte carlo methods
latent variable growth curve model
dynamic factor
multiple causes model
latent variable
mixture model
interaction models
multitrait-multimethod model
dynamic factor model
simple dichotomous analysis
prelis
autocorrelation
regression analysis
extrapolation
confidence intervals
r-squared
overfitting
model building
excluding important predictors
hypothesis testing
stochastic time series
volatility
aparch
financial risk modeling
gbm
garch
distributions (mle)
egarch
quartimax
principal components and factor analysis
varimax
oblique rotation
parallel analysis
z-test
population means
paired data
estimate sigma
sample size and power determination
two-sample study
hypothesis test
amos
diagramming
cfa models
modeling
lisrel
sem
3dfield
spatial statistics with geographic information sys
text processing
data formatting
data manipulation
data structures and subsetting
introduction to r - data handling
or spss. applied statistics
ml vs reml
as
mixed and hierarchical linear models
linear mixed effects models (lmm)
visual exploration of business data
visual analytics
trellising
multivariate views
distribution analysis
parallel coordinate plots
arch
mean reversion
cyclicity
copulas (mle)
jump diffusioin
seasonality
+mean reversion
autocorrelaton
monte carlo
competing risks survival analysis
log-logistic
random intercept
advanced survival analysis
lunn-mcneil approach
geoda
crimestat iii
gis
continuous field data
morbidity
observational
case-control
prevalence
mortality
longitudinal clinical trials
bioequivalence
biostatistics in r: clinical trial applications
data structure
interval-censored data
right-censored data
time-to-event data
trial designs
treatment comparisons
incorporating covariates
simulated clinical trial
latent models
nb-c
practical rasch measurement - core topics
dif
fit analysis
clinical trial
risk
measuring diseases
matching
confounding
incidence
epidemiologic methodology
etiologic fraction
cross-sectional
epidemiologic statistics
stratification
odds ratio
risk ratio
rate
bias
extreme value
exponential
2-sided
measurement error
tolerance analysis
1-sided
graphical methods
tolerance intervals
reliability and life testing
engineering statistics
lognormal
censoring
bias and calibration
asymmetric
arrhenius equation
rotation
scree plot
axes factor analysis
poisson-inverse gaussian
alternative parameterizations
double poisson
effect plots
predicting counts
zero counts; censored and truncated models
nb-h
poisson regression
overdispersion
maximum likelihood count models
residual analysis
nb-1
modeling count data
nb-p
bivariate
binomial regression
simulation
glm-based algorithm
jmp
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Personal Information
Organization / Workplace
Pune, Maharashtra India
Occupation
Business Development
Industry
Education
Tags
applied statistics
analytics
biostatistics
certification
clinical trials
data mining
elearning
forecasting
life science
online course
online training
predictive analytics
big data
regression
r
prediction
multiple linear regression
stata
spss
design
anova
winbugs
normal distribution
survival analysis
sas
analysis
weibull
mode
panel models
missing data
simple linear regression
standard deviation
winsteps software
t-test
structural equation modeling
descriptive statistics
dr. madhav kulkarni
probability
time series
logistic regression
linear regression
scatterplots
vectors
matrices
multicollinearity
bootstrap
design of experiments
glm
proportions and variances
mean
cox proportional hazards model
avoiding loops
visualization
venn diagrams
r data structures
r data types
monte carlo simulation
proper lexical scoping
@risk
decision-making tool
percentiles
fault trees
crystal ball
modelrisk
risk modeling
event trees
kurtosis
risk analysis
quantitative risk analysis
skewness
continuous data
binary data
funnel plots
meta regression
cochrane collaboration
forest plots
treatment effect
meta analysis
campbell collaboration
weighted means
correlational data
validation data
predictive modeling
interactive data visualization
k-nearest neighbor
semma
neural nets
classification tree
functions
recoding data
r programming - intermediate
loops
importing data
data
discrete choice modeling and conjoint analysis
samples
random utility models
choices
panel data
choice studies
ranks
designing conjoint
ratings
surveys
interpretation
fixed-effects models
penalized logistic regression
multinomial probit regression
advanced logistic regression
proportional odds models
multinomial logistic regression
binary logistic regression
non-proportional models
gee
quasi-least squares models
random-effects models
monte carlo sampling median unbiased estimation
normalization
bioconductor
statistical analysis of microarray data with r
array normalization
multivariate techniques
data cleaning
affydata
welch test
t- test
wilcoxon rank sum test
concordance coefficients
signed rank test
microarrays
clustering
limma package
markov chain monte carlo
metropolis-hastings method
bayesian regression modeling via mcmc techniques
gibbs sampling
linear regression modeling in winbugs
evidence-based policy
risk analysis models
data structures
treemaps
arithmetic
summarizing data
dimensions
data manipulations
r programming - introduction
plotting data
multidimensional data
general linear modeling in winbugs
data frames
text data
heteroscedasticity
rstudio
random sample
median
stem-and-leaf plots
categorical variables
chi-squared
frequency distributions
parameters
range
box plots
histograms
survey of statistics for beginners
variance
probability models
variation
categorical response models
exact logistic regression
analysing longitudinal data using r
generalized estimating equations
modeling in r
mle
chi-square gof in r
one-sample t-test in r
permutation tests two-sample t-tests
bootstrapping in r
eda graphs
simple linear regression model in r
introduction to r - statistical analysis
odbc driver
sql procedures and functions
plyr function
wrangling and munging data with sql and r
joins in sql
or s+) to analyze survival analysis data.
kaplan-meier graphs
basic terminology and concepts
and interpretation of the logistic model
logistic model construction
binomial logistic regression and overdispersion
fit
ci and test
kaplan-meier method
relative risk (rr) and odds ratio (or)
roc curves
binary & binomial
bayesian computing and techniques
mcmc
poisson
normal
fractional factorial designs
taguchi designs
plackett-burman designs
box-wilson (central composite) designs
doe kiss software
full factorial designs
discriminant analysis
inference
multivariate statistics
correspondence analysis
population covariances
manova
derivative
calculus review
limits
integration
reshape2 function
weighted generalized estimating equations
mar
inverse probability weighting
mnar selection model
modeling incomplete data
sensitivity analysis
multiple imputation
pattern-mixture models
dose-response relationship
permutation tests
fisher's exact test
chi-square test
resampling methods
correlation
box-behnken designs
bayesian statistics
gaussian
ols
inference and association
chi-square
directional hypotheses
tests for two means
proportions; paired comparisons
confidence intervals for proportions and means
naive forecasts
visualizing time series
de-trending
regression-based models
forecasting vs. explanation
exponential smoothing
moving average (ma)
autoregressive (ar) models
xlminer regression tree
cart
generalized linear models
negative binomial
gamma
continuous response models
probit regression
cloglog
ordinary least squares
discrete response models
geometric
binomial models: logit
loglog
probit
count models: poisson
log-normal
x-bar chart
standard shewhart control charts
p chart
spc
c chart
r-chart
shewhart
x chart
statistical process control
interaction
regression inference
regression for prediction
general statistics
survival and hazard functions
and the extended cox model for time-varying covari
log-rank and related tests
predictive accuracy
smoothing-based methods
performance evaluation
time series components
data partitioning
forecasting analytics
statistical significance
point estimates
random sampling
contingency tables
categorical data
study design
statistics
six sigma
u chart
np-chart
two sample problem
devices
p-splines
dr. paul eilers
cross-validation
variance smoothing
density estimation
aic
tensor
b-splines
smoothing and p-spline techniques using r
dr. brian marx
smoothing
bayesian hierarchical and multi-level models
overdispersed regression
bayesian hierarchical models
conjugate hierarchical models
meta-analysis
statistical analysis plan
discoveries
dr. vidyadhar phadke
paal
generics
end point - count data
end point - non-normal
end point - normal
one sample problem
statistical issues in clinical trials
post-mi freee
alternative medicine
bias reduction
end point binary
sap
psychiatric therapy
phases
new drugs
decision rules
retrieval of documents
clustering of documents
linear models
parsing
text mining
probabilistic model
tokenization
riktext
em algorithm
predictive models
scalograms
dimensionality
reliability
measurement models
equating
anchoring
rating scales
beta-binomial
dr. peter congdon
logit-normal for binomial data
borrowing strength
search path
r programming – advanced
dr. oliva c. lau
lexical scoping
quantifying variation
dr. dennis roberts
educational testing
quantifying averages
z-scores
introduction to assessment and measurement
k-means clustering
data preparation
dr. nitin indurkhya
tmsk
dr. robert labudde
eigenvectors
quadratic forms
matrix inverse
matrix algebra review
symmetric matrices
eigenvalues
matricesmatrix multiplication
notation
linear equations
geometric interpretation
identity matricesmatrix multiplication
naive bayes classifiers
dr. luis torgo
microarray samples
data mining in r
data mining in r - learning with case studies
k-fold cross-validation
predictive modeling methods
political analytics
ken strasma
item-person maps
dichotomous data
jr
investigating text functioning
polytomous models
rescoring data
polytomous estimation
practical rasch measurement
excel
prettifying output
polytomous data
dr. everett v. smith
test equating
orthogonality
scalars
second order factor model
multilevel model
multiple-group model
mimic
multiple indicator
chi-square distribution
student's t distribution
gamma distribution
uniform distribution
poisson distribution
random variables
hypergeometric distribution
discrete
probability distributions
f-distribution
weibull distribution
exponential distribution
bernoulli distribution
classification methods
clustering methods
regression trees
random forests
data visualization
k-nearest neighbors
predicting algae blooms
structured means model
hlm
monte carlo methods
latent variable growth curve model
dynamic factor
multiple causes model
latent variable
mixture model
interaction models
multitrait-multimethod model
dynamic factor model
simple dichotomous analysis
prelis
autocorrelation
regression analysis
extrapolation
confidence intervals
r-squared
overfitting
model building
excluding important predictors
hypothesis testing
stochastic time series
volatility
aparch
financial risk modeling
gbm
garch
distributions (mle)
egarch
quartimax
principal components and factor analysis
varimax
oblique rotation
parallel analysis
z-test
population means
paired data
estimate sigma
sample size and power determination
two-sample study
hypothesis test
amos
diagramming
cfa models
modeling
lisrel
sem
3dfield
spatial statistics with geographic information sys
text processing
data formatting
data manipulation
data structures and subsetting
introduction to r - data handling
or spss. applied statistics
ml vs reml
as
mixed and hierarchical linear models
linear mixed effects models (lmm)
visual exploration of business data
visual analytics
trellising
multivariate views
distribution analysis
parallel coordinate plots
arch
mean reversion
cyclicity
copulas (mle)
jump diffusioin
seasonality
+mean reversion
autocorrelaton
monte carlo
competing risks survival analysis
log-logistic
random intercept
advanced survival analysis
lunn-mcneil approach
geoda
crimestat iii
gis
continuous field data
morbidity
observational
case-control
prevalence
mortality
longitudinal clinical trials
bioequivalence
biostatistics in r: clinical trial applications
data structure
interval-censored data
right-censored data
time-to-event data
trial designs
treatment comparisons
incorporating covariates
simulated clinical trial
latent models
nb-c
practical rasch measurement - core topics
dif
fit analysis
clinical trial
risk
measuring diseases
matching
confounding
incidence
epidemiologic methodology
etiologic fraction
cross-sectional
epidemiologic statistics
stratification
odds ratio
risk ratio
rate
bias
extreme value
exponential
2-sided
measurement error
tolerance analysis
1-sided
graphical methods
tolerance intervals
reliability and life testing
engineering statistics
lognormal
censoring
bias and calibration
asymmetric
arrhenius equation
rotation
scree plot
axes factor analysis
poisson-inverse gaussian
alternative parameterizations
double poisson
effect plots
predicting counts
zero counts; censored and truncated models
nb-h
poisson regression
overdispersion
maximum likelihood count models
residual analysis
nb-1
modeling count data
nb-p
bivariate
binomial regression
simulation
glm-based algorithm
jmp
See more