Biostats Lesson 1 Flashcards

1
Q

Branch of stats that apply statistical methods to a wide range of topics in science

A

Biostatistics

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2
Q

Topics in science

A

Biology
Medicine
Pub Health

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3
Q

Fundamental discipline at the core of modern health data science, and underpins most key pub health research disciplines such as epidem and health services research

A

Biostatistics

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4
Q

Study of factors that determine the occurence and distribution of dsease in a population

A

Epidemiology

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5
Q

Studies the distribution and determinants of disease in a population

A

Classical Epidemiology

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6
Q

Application of principles of epdeim to clinical medicine

A

Cilinical Epidemiology

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7
Q

Anyone or anything that’s the focal point of the study where data and info is sourced from

One of the most important aspects of a research is defining a subject

A

Subject

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8
Q

Totality of the group of subjects

Group of indiv/items which consists of all possible subj of interest

Most critical first step in research

A

Population

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9
Q

Smaller set of population

A

Sample

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10
Q

A subset that provides an accurate picture of the whole population

A

Representative Sample

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11
Q

The data collected from a sample may not be 1:1 to the data collected from the pop but is very similar to one another

A

Sample

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12
Q

If only certain members of the pop are choses systematically, this can be misinterpreted and be called as as ___

A

Biased sample

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13
Q

To avoid biased sample, ____ is enacted to ensure lack of bias

A

Random sampling

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14
Q

Process used in stat analysis in which a pretermined no. of observations are taken from a larger populationm

A

Sampling

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15
Q

A list of subj from the populationm which is often assigned to a unique no.

A

Sampling frame

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16
Q

Each type of randome sample requires a list of population known as ___

A

Sampling frame

17
Q

The strategies for chooing a random sample depend on:

A

The research question
How feasible it is to implement the randomization

18
Q

Each subject in the pop has the equal probaility / chance of being selected

Meant to be an unbiased representation of a group

However, while representative of pop, a single simple random sample may not be reflective of the true pop

A

Simple Random Sampling

19
Q

Done through a random number generator

A

Simple Random sampling

20
Q

Involves division of a pop into smaller subgroups known as ____

A

Strata

21
Q

Makes representative of the pop due to the stratification: making it less biased

Often involves more work in the beginning the process of segmenting the pop into diff subgroups or strata

A

Stratified random sampling

22
Q

Population are divided into several strata based on an ____

A

Overreaching trait

23
Q

Total sample for the study will be representative of the population as long as the number of subj are samples in each strate is proportional to the overall pop size

A

Stratified random sampling

24
Q

A method for selecting a sample from a pop in a randomized manner to minimize sampling error

A

Systematic random sampling

25
Q

Easy to conduct once the sampling frame is order and a number is selected

Prone to bias, especially if sampling frame is unarragned/ there’s similar characteristic for subjects every 5th order

A

Systematic random sampling

26
Q

____ will also e selected which starts the chain of intervals/systematic selection

A

Random starting point

27
Q

Variables that can take only take on positive, whole value numbers and thus are considered discrete values

A

Count Variables

28
Q

Variables that have only numerical values and have no “natural gaps” between numbers.

These are variables that are measured instead of counter and are ebst analyzed by multiplying, dividing, adding or subtracting the values.

A

Continuous Variables

29
Q

Variales whose potential measures are limited to a known certain set of calues because only a limited set of values are possible

A

Categorical Variables

30
Q

Categorical values are also known as

A

Discrete variables

31
Q

Categorical variables have three sub types

A

Ordinal
Nominal
Dichotomous

32
Q

Categorical variables that with different levels or orders that matter.

Examples include stages of cancer and birth order

A

Ordinal

33
Q

Categorical variable that can be associated to a category but the order does not matter.

Examples include taste, color, and breeds

A

Nominal

34
Q

Categorical variable that can only have two levels

Examples include yes/no, options, gender

A

Dichotomous