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Core - Pharmacokinetics and Pharmacodynamics

    Chapter 2

    Biostatistics: Introduction

    2.1 : Biostatistics: Overview01:20

    2.1 : Biostatistics: Overview

    Biostatistics is the application of statistical methods to analyze data by conducting experiments to gather evidence and drawing conclusions based on ...

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    2.2 : Data: Types and Distribution01:19

    2.2 : Data: Types and Distribution

    In biostatistics, data refers to the collected observations that are subject to analysis. Data can be parametric or nonparametric. Nonparametric data ...

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    2.3 : Central Tendency: Analysis01:10

    2.3 : Central Tendency: Analysis

    Measures of central tendency are descriptive statistical tools that describe the average or center of a data set. These include mean, median, mode, and ...

    137 views
    2.4 : Variability: Analysis01:11

    2.4 : Variability: Analysis

    Measures of variability are vital in biostatistics for describing a dataset's dispersions and highlighting deviations between individual data points. ...

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    2.5 : Statistical Hypothesis Testing01:16

    2.5 : Statistical Hypothesis Testing

    A hypothesis is a proposed explanation or assumption about a population parameter that serves as the basis for testing and analysis. The null hypothesis, ...

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    2.6 : Accuracy and Errors in Hypothesis Testing01:13

    2.6 : Accuracy and Errors in Hypothesis Testing

    A hypothesis test starts with the assumption that the null hypothesis is true. Two types of errors can occur in a hypothesis test. Type I error is the ...

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    2.7 : Statistical Methods to Analyze Parametric Data: ANOVA01:12

    2.7 : Statistical Methods to Analyze Parametric Data: ANOVA

    ANOVA, or Analysis of Variance, analyzes parametric  statistical data by comparing means among multiple groups to determine their statistical ...

    281 views
    2.8 : Statistical Methods to Analyze Parametric Data: Student t-Test and Goodness-of-Fit Test01:09

    2.8 : Statistical Methods to Analyze Parametric Data: Student t-Test and Goodness-of-Fit Test

    The Student t-test examines if there is a significant difference between the means of two groups. It is suitable for data that follows a normal ...

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    2.9 : Statistical Inference Techniques in Hypothesis Testing: Parametric Versus Nonparametric Data01:16

    2.9 : Statistical Inference Techniques in Hypothesis Testing: Parametric Versus Nonparametric Data

    Parametric statistical methods, like the Student t-test or goodness-of-fit test, assume that data follows a specific distribution, enabling robust ...

    114 views
    2.10 : Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

    2.10 : Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

    Biopharmaceutical studies aim to study drug delivery and improved therapies using interdisciplinary knowledge. Non-controlled studies, often used for ...

    120 views
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