##### Biostatistics Homework help, Biostatistics Assignment help, Assignment Solutions, Online Tutors

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**Stat:3510 (22s:101) Biostatistics**

- Statistical concepts, methods for biological sciences, Descriptive statistics, Elementary probability, sampling distributions, Confidence intervals, parametric, Nonparametric methods, One-way anova, correlation, regression, Categorical data, statistical graphics, Probability, Addition, product rules, conditional probability, Bayes theorem
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**BIOSTATISTICS**

- Introduction, Normal Distribution, Sampling Distributions, Central Limit Theorem, Statistical Inference and Hypothesis Testing, One Sample Inference, Mean, Z- and t-tests, Type 1 and Type 2 Errors, Power and Sample Size, One Sample Proportion, Two Sample Means: Z- and t-tests (RCT), Nonparametric tests, Statistical Inference, Correlation and Regression
- Two Sample Proportions, Z- and Chi-squared tests, McNemars Test, Mantel-Haenszel, Multiple Samples, Proportions, Means, Linear Correlation Coefficient and Regression, Least Squares approximation, Regression Diagnostics, Inference, ANOVA formulation, Survival Analysis, Extensions of Simple Linear Regression, Transformations, Multilinear, Logistic, Survival Functions, Hazard Functions
- Kaplan-Meier Formula, Log-Rank Test,, Cox Proportional Hazards Model, Descriptive statistics, Graphical and numerical summaries, Probability, Distributions, The law of averages and the central limit theorem, Hypothesis tests and confidence intervals, Concepts, One-sample inference, Percentages, Continuous measurements, Two-sample inference, Categorical data, Continuous data, Power and sample size, Randomization methods, Transformations, Rank-based methods, Correlation and regression, Survival analysis, Multiple comparisons and ANOVA,

**BIOSTATISTICS**

- Epidemiology
- biometry
- methods of survival analysis.
- Departmental approval.
- Designs for Clinical Trials
- Control group
- Randomization and matching
- Blinding and masking
- One-way, two-way and repeated measures designs
- Cross-over design
- ROC Curves
- Review of sensitivity-specificity
- Serial and parallel tests
- Predictivity-based ROC curve
- Clinical gains from a test
- Relative Risk (RR) and Odds Ratio (OR)
- Definitions and applicability of RR and OR
- CI and test of hypothesis for RR, attributable risk, OR
- Survival Analysis
- Censored durations and need of special methods
- Life table method
- Kaplan-Meier method
- Introductory statistical methods for biological data

- Describing data (numerical and graphical summaries)

- Introduction to probability

- Statistical inference (hypothesis tests and confidence intervals)
- Intermediate statistical methods

- Comparing groups (analysis of variance)

- Analyzing associations (linear and logistic regression)

- Methods for categorical data (contingency tables and odds ratio)