Avinash Chamwad

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 design spss sas survival analysis winbugs anova normal distribution dr. madhav kulkarni descriptive statistics winsteps software proportions and variances structural equation modeling weibull scatterplots panel models vectors matrices mean mode standard deviation glm simple linear regression time series probability multicollinearity cox proportional hazards model linear regression logistic regression t-test missing data analysis bootstrap design of experiments 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 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 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 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 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 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 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 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 simple dichotomous analysis 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 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 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 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 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 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 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 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 interactive data visualization visualization treemaps general linear modeling in winbugs heteroscedasticity linear regression modeling in winbugs gibbs sampling bayesian regression modeling via mcmc techniques metropolis-hastings method markov chain monte carlo limma package clustering microarrays signed rank test concordance coefficients wilcoxon rank sum test t- test welch test affydata data cleaning multivariate techniques array normalization statistical analysis of microarray data with r bioconductor normalization monte carlo sampling median unbiased estimation random-effects models quasi-least squares models gee non-proportional models binary logistic regression multinomial logistic regression proportional odds models advanced logistic regression multinomial probit regression penalized logistic regression fixed-effects models exact logistic regression categorical response models variation probability models variance survey of statistics for beginners histograms box plots range parameters frequency distributions chi-squared categorical variables stem-and-leaf plots median random sample rstudio text data data frames multidimensional data plotting data r programming - introduction data manipulations dimensions summarizing data arithmetic data structures risk analysis models @risk monte carlo simulation venn diagrams decision-making tool fault trees modelrisk event trees kurtosis quantitative risk analysis skewness risk analysis risk modeling crystal ball percentiles avoiding loops r data structures r data types proper lexical scoping 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 evidence-based policy 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 k-nearest neighbor semma neural nets classification tree 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 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 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 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 jmp 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 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 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 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 bayesian statistics