WEEK # 2 NATURE OF BIOSTATISTICS AND DATA PROCESSING

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Description and Tags

57 Terms

1

Statistics

Tool in decision making

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2

Statistics

Tool for the formulation of good judgment

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3

Statistics

Art of summarizing data so that non- statistician can understand it

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4

Statistics

Science dealing with the collection, organization, analysis, and interpretation of numerical data

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5

Bio

means life

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6

Statistics

means data

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7

Biostatistics

a special branch of statistics which deals with quantitative and qualitative aspects of vital phenomena

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8

Health statistics

data required in the planning, administration, and evolution of health programs

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9

Epidemiology

distribution & determinants of health-related states and events

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10

Demography

study of human population

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11

Genetics and Genomics

Heredity; genes and functions

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12

Health Economics

functioning of health care system and health affecting behaviors

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13

Descriptive and Inferential

2 branches of biostatistics

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14

Descriptive Statistics

Methods of summarizing and presenting data

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15

Descriptive Statistics

Computation of measures of central tendency and variability

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16

Descriptive Statistics

Tabulation and graphical presentation

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17

Descriptive Statistics

Facilitate understanding, analysis, and interpretation of data

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18

Inferential Statistics

Methods of arriving at conclusions and generalizations about a target population based on information from a sample

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19

Inferential Statistics

Estimation of parameters and hypotheses testing

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20

Population

all members of a specified group

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21

Sample

subset of a population

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22

Parameter

measure of a characteristic of a Population

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23

Constant

value of a characteristic that remains the same from person to person, from time to time or from place to place

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24

Variable

characteristics takes on different Values

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25

Primary Data and Secondary Data

2 types of data acc to source

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26

Independent and Dependent

2 types of data acc to Functional Relationship

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27

Independent

cause of data

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28

Dependent

effect of data

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29

Qualitative and Quantitative

2 categories of data or types of variable

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30

Qualitative

descriptions or labels to distinguish one group from another

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31

Quantitative

can be measured and ordered according to quantity or amount and expressed numerically

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32

Nominal, Ordinal, Interval, Ratio

4 scale of measurements

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33

Nominal

Simply used as names or identifiers of a category

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34

Ordinal

Represents an ordered series of relationships

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35

Interval

Does not have a true-zero value starting point

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36

Ratio

Modified interval level which includes zero as a starting point

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37

Nominal

Does not represent any amount or quantity

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38

Data Processing

Systematic procedure to ensure that the information/data gathered are complete, consistent and suitable for analysis.

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39

Data collection, data processing, analysis

Chronological order of Data Processing Flowchart

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40

Data Coding

Conversion of verbal/written information into numbers which can be more easily encoded, counted and tabulated.

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41

Field

actual value or information given by the respondent

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42

Bracket

recorded as range of values rather than actual values

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43

Factual

codes are assigned to a list of categories of a given variable

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44

Pattern

applicable for questions with multiple responses

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45

<8

Number of rules must be kept to minimum

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46

exhaustive and mutually exclusive

Codes should be

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47

Coding Manual

A document which contains a record of all codes assigned to the responses to all questions in the data collection forms.

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48

Data Encoding

Entering the data/responses in a spreadsheet

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49

Data Editing

Inspection and correction of any errors or inconsistencies in the information collected

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50

Field and Central

2 types of editing

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51

Field Editing

Reviewing the accomplished data collection forms

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52

Field Editing

Decoding of abbreviations or special symbols

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53

Field Editing

Making callbacks/messages for verification/clarification of incomplete answers

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54

Central Editing

Checking of inconsistencies and incorrect entries after receiving the questionnaire from the field

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55

Central Editing

Checking of encoded data

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56

consistent

For qualitative data, check if categories are ——— with what is specified in the coding manual

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57

logical

For quantitative data, check the minimum and maximum if they are ——— given the possible values of variable

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