NATURE OF BIOSTATISTICS Flashcards

(44 cards)

1
Q
  • It is a science dealing with the collection, organization, analysis, and interpretation of
    numerical data.
  • It is an art of summarizing data so that non-statistician can understand it.
  • It is a tool in decision making to formulate good judgment.
  • It can mean a METHOD or DATA.
A

Statistics

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2
Q
  • Data reduction technique
  • Tool for analyzing research projects and clinical trials
  • Tool for objective appraisal and evaluation of programs
  • Tool in decision making process and policy making
A

Uses of Statistics

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3
Q

Biostatistics

A

BIO means life.
* STATISTICS means data.
* It is a special branch of statistics which deals with quantitative and qualitative aspects of
vital phenomena

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4
Q

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

A

Health Statistics

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5
Q

distribution & determinants of health-related states and events

A

epidemiology

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6
Q

study of human population

A

study of human population

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7
Q

functioning of health care system and health affecting behaviors

A

health economics

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8
Q

heredity, genes and functions

A

genetics and genomics

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9
Q

Branches of Statistics

A
  1. Descriptive Statistics
  2. Inferential Statistics
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10
Q

 Methods of summarizing and presenting data
 Computation of measures of central tendency and variability
 Tabulation and graphical presentation
 Facilitate understanding, analysis, and interpretation of data

A

Descriptive Statistics

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11
Q

 Methods of arriving at conclusions and generalizations about a target population based on
information from a sample
 Estimation of parameters and hypotheses testing

A

Inferential Statistics

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12
Q

all members of a specified group

A

Population

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13
Q

subset of a population

A

Sample

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14
Q

measure of a characteristic of a population

A

measure of a characteristic of a population

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15
Q

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

A

Constant

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16
Q

characteristics takes on different values

A

Variable

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17
Q
  1. According to Source
     Primary Data
     Secondary Data
  2. According to Functional Relationship
     Primary Data
     Secondary Data
A

Type of Data

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18
Q

descriptions or labels to distinguish one group from another

19
Q

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

20
Q

assume a finite or countable number of values

21
Q

infinity or other possible values

22
Q

 Simply used as names or identifiers of a category
 Always qualitative
 Does not represent any amount or quantity

23
Q

 Simply used as names or identifiers of a category
 Always qualitative
 Does not represent any amount or quantity

24
Q

 Represents an ordered series of relationships
 May be qualitative or quantitative

25
 Does not have a true-zero value starting point  Always quantitative
Interval
26
 Modified interval level which includes zero as a starting point  Always quantitative
Ratio
27
systematic procedure to ensure that the information/data gathered are complete, consistent and suitable for analysis.
Data Processing
28
* CODING * ENCODING * EDITING
DATA PROCESSING
29
conversion of verbal/written information into numbers which can be more easily encoded, counted and tabulated.
data coding
30
actual value or information given by the respondent
Field Code
31
recorded as range of values rather than actual values
Bracket Code
32
assigned to a list of categories of a given variable
Factual Code
33
applicable for questions with multiple responses
Pattern Code
34
Rules in Code Construction
 Number of rules must be kept to minimum (<8)  Codes should be exhaustive and mutually exclusive  Adopt coding convention for questions with similar answers
35
 No response  Not applicable questions
Coding Problems
36
document which contains a record of all codes assigned to the responses to all questions in the data collection form
Coding Manual
36
document which contains a record of all codes assigned to the responses to all questions in the data collection form
Coding Manual
37
Minimum information that must be included in a coding manual
 Variable name  Variable description  Coding instructions
38
Entering the data/responses in a spreadsheet  MS Excel  MS Access  Epi Inf
Data Encoding
39
 Inspection and correction of any errors or inconsistencies in the information collected  During data collection, encoding, before data analysis
Data Encoding
40
 Reviewing the accomplished data collection forms  Decoding of abbreviations or special symbols  Making callbacks/messages for verification/clarification of incomplete answers
Field Editing
41
 Checking of inconsistencies and incorrect entries after receiving the questionnaire from the field  Checking of encoded data
. Central Editing
42
 Make corrections as early as possible  Reduce non-response or incomplete answers  Eliminate inconsistencies, incorrect info.  Make the entries clear, legible and comprehensive  Prepare data for analysis
Importance of Data Editing
43
 Check for duplicate entries  Check the totals of each variable if the same as with the sample size  For qualitative data, check if categories are consistent with what is specified in the coding manual  For quantitative data, check the minimum and maximum if they are logical given the possible values of variable
What to check when editing data?