# Training Index

This page gives a complete index of everything I currently deliver within John varlow | Training and Consultancy courses. The index will get bigger as we deliver more training courses.

It is the intention that each of the items in the index will have a description of what is covered within the training but this is a work in progress so please bear with us as this is developed.

## A

Absolute risk

Absolute risk reduction

Abstracts

Abstract presentations

Accessibility (data quality)

Accuracy (data quality)

Additive ETS models

Agile projects

Akaike’s Information Criterion (AIC)

Alpha (chance)

Alternate / alternative hypotheses

Analysis (SPSS)

Analysis strategy / approach (research proposal)

Analytical design

Analytical questions

Approaches to outcome measurement

A priori power

ARIMA models

ARIMA model selection

ARIMA outputs

Association of variables

Assurance of indicators

Audit definition

Audit lifecycle

Auto-correlation

Auto-correlation function (ACF)

Autoregressive models

Average

Average method

## B

Bar charts

Background (research proposal)

Baseline category

BATS overview

Bayesian Information Criterion (BIC)

Bell shaped curve

Bernoulli distribution

Beta (power)

Bias

Binomial distribution

Binomial logistic regression

Bi-variate analysis

Blinding

Blobbogram

Block Randomisation

Body language

Bonferonni test

Box and whisker plots

Box Cox transformations

Breusch Godfrey test

## C

Capability

Case-control design

Case series design

Case study design

Categories

Categorical data

Causation

Central limit theorem

Centroid

Certainty

Chance effect

Chance (alpha)

Charts - overview

Chi Square test

Classifications

Clinical significance

Clinical Terms version 3

Cluster Sampling

Cochrane's Q test

Cohort analytic studies

Cohort design

Combination charts

Comparison Group

Completeness (data quality)

Complex data manipulation (SPSS)

Compound measures

Confidence limits

Confounding variables

Conservation of resources (ethics)

Constant

Continuous data

Control (project)

Control subjects

Control limits

Convenience Sampling

Correlations

Correlation coefficients

Cox's proportional hazards

Critical appraisal overview

Critical appraisal process

Critical appraisal skills programme (CASP)

Cross-sectional design

Cyclical variation

## D

Damping methods

Data model and dictionary

Data protection (ethics)

Data quality - overview

Data quality : accessibility

Data quality : accuracy

Data quality : completeness

Data quality : relevance

Data quality: timeliness

Data standards

Data transformation

Definition of audit

Definition of descriptive statistics

Definition of evaluation

Definition of an indicator

Definition of inferential statistics

Definition of a metric

Definition of a number

Definition of research

Definition of service development

Definition of time series data

Degrees of freedom

Delphi Method

Denominator

Dependent variables

Descriptive statistics - definition

Design : case-control

Design : case series

Design : case study

Design : cohort

Design : cross-sectional

Design : experimental

Design : survey

Determinism

Deviation

Dichotomous data

Differencing

Different methods of dissemination

Direct standardisation

Discrete data

Disseminating research findings

Dissemination strategy

Distributions

Distribution : Bernoulli

Distribution : Binomial

Distribution : Chi Square

Distribution : Exponential

Distribution : F

Distribution : Gaussian

Distribution : Leptokurtic

Distribution : Mesokurtic

Distribution : Normal

Distribution : Platykurtic

Distribution : Poisson

Distribution : Student T

Distribution : Standard Z

Distribution : Uniform

Doubling up principle in ratio data

Drift Method

Dummy variables

Durbin Watson test

## E

Ecologic validity

Elements of time series data

Empiricism

Epidemiology overview

Equal Variance Assumed

Error : Sampling

Error : Standard

Ethical approval

Ethics overview

Ethics : conservation of resources

Ethics : data protection

Ethics : informed consent

Ethics : minimising discomfort

Ethics : protecting participants

Ethics : taboos in the community

Ethnography

ETS Models

Evaluation - definition

Event rates

Experimental design

Exploratory analysis

Exponential distribution

Exponential smoothing

Exponential triple smoothing

Exponential trend

External reliability

## F

F distribution

Feasibility

Finance and resources

Fisher's test

FORECAST function (MS Excel)

Forecasting

Forrest Plot

Fourier series

Friedman test

Funnel Plots

## G

Gaming and perverse incentives

Gantt Charts

Gaussian distribution

Gradient

Graphical data presentation

Grounded Theory

GROWTH function (MS Excel)

## H

Hand gestures in presentation

Hawthorne Effect

Healthcare Resource Groups (HRG)

Heteroskedasticity

Histograms

Holt's linear method

Holt Winter's method

Homogeneity of variance

Homoskedasticity

Hypotheses : alternate

Hypotheses : one-tailed

Hypotheses : null

Hypotheses : statistical

Hypotheses : two tailed

## I

ICD codes

Implementation

Incidence rates

Incident cases

Independent Samples

Independent samples t-test

Independent variables

Indicator - definition

Indicator construction

Indirect standardisation

Inference

Inferential statistics - definition

Influencing variables

Information standards

Informed consent

Integration (Time Series)

Intellectual property rights

Intention to treat

Inter-quartile range

Interoperability

Interpreting regression output

Interpretevist paradigm

Interval data

Intervention

Intervention group

Inter observer reliability

Internal reliability

Intra observer reliability

Introduction (research proposal)

## J

Judgmental forecasting

## K

Kaplan Meier

Kendall’s tau correlation

Knowledge : Private

Knowledge : Professional

Knowledge : Public

Knowledge : Scientific

Kruskal-Wallis test

Kurtosis

## L

Lag

Last observation carried forward

Least squares

Leptokurtic distribution

Letter of invitation

Levene's statistic

Line charts

Line of best fit

Line of no effect

Linear regression

Linear trends

Literature

Literature review

Log transformations

Logistic regression

Logit

Longitudinal studies

## M

Mann Whitney U test

Maximum likelihood

McNemar test

Measures of central tendency

Mean

Mean square error (MSE)

Measures of dispersion

Median

Mesokurtic distribution

Meta-analysis

Methodology (research proposal)

Metric - definition

Minimising discomfort (ethics)

Mode

Moving averages

MSTS models

Multiple independent groups - tests

Multiple linear regression

Multiple related groups - tests

Multiplicative ETS models

Multinomial logistic regression

Multi-variate analysis

## N

Naïve method

Natural cause variation

Nominal data

Non-linear trends

Non-parametric tests

Normal distribution

Normality test

Null hypotheses

Number - definition

Numbers needed to treat

## O

Observational studies

Odds

Odds ratio

One-tailed hypotheses

One way and two way Anova test

OPCS codes

Oral presentations

Ordering data

Ordinal data

Out of control processes

Outcome measurement overview

Outliers

Overlapping confidence intervals

## P

P values

Paired samples t-test

Parallel lines test

Parametric tests

Partial auto-correlation function (PACF)

Pearson's product moment correlation

Percentages and rates

Percentiles

Perverse incentives and gaming

Phenomenology

PICO approach

Pie Charts

Piloting

Placebo effect

Platykurtic distribution

Positivist paradigm

Post-hoc power

Post-hoc tests

Poster presentations

Power

Power transformations

Presentation methods

Prediction intervals

Prevalence rates

Principles of Good indicators

Private knowledge

Probability

Procedure codes

Process capability

Process control and regression models

Process control charts

Professional knowledge

Project assumptions

Project board

Project closure

Project dependencies

Project feasibility

Project finance and resources

Project initiation

Project live running (control)

Project management overview

Project management tools

Project manager

Project planning

Project review

Project risks

Project sponsor

Project staff

Project team

Proportional hazards

Prospective studies

Protection of participants (ethics)

Public knowledge

## Q

Quality indicators

Quartiles

Questionnaires

Questionnaire design principles

Question : Analysis

Question : Research

Qualitative Methods

Quantitative Methods

Quintiles

Quota Sampling

## R

R-squared values

Random walk

Randomisation

Randomised controlled trials (RCT)

Range

Ranking indicators and metrics

Rate : Incidence

Rate : Prevalence

Ratio data

Ratios

READ codes

Reductionism

Regression equations

Regression methods and process control

Repeated measures ANOVA

Relative risk

Relative risk reduction

Relevance in data quality

Reliability

Reliability : External

Reliability : Inter observer

Reliability : Internal

Reliability : Intra observer

Replicable code (SPSS)

Retrospective Studies

Research Aims

Research and Audit difference

Research application procedures

Research definition

Research designs overview

Research design strengths and weaknesses

Research ethics

Research language overview

Research lifecycle

Research methodology

Research objectives

Research proposal

Research protocol

Research question

Research regulations overview

Residual variation

Resources and finance

Results : interpretation

Results : presentation

Risk

Role of voice in presentation

Rolling averages

Root mean square error (RMSE)

Run Charts

## S

Sample size

Sensitivity

Shewhart funnel plot

Specificity

Sampling error

Sampling : cluster

Sampling : convenience

Sampling methods overview

Sampling :quota

Sampling : snowball

Sampling : stratified

Satisfaction surveys

Scatter plots

Scepticisim

Scheffe test

Scientific knowledge

Scientific method

Seasonal method

Seasonal variation

Secular trend

Semantic interoperability

Service development definition

Significance

Simple database setup (SPSS)

Simple database manipulation (SPSS)

Simple linear regression

Simple outcome measures

Simple randomisation

Skewness

Smoothing techniques

Snomed CT (R)

Snowball sampling

Solver (MS Excel)

Sources of bias

Spearman's rank correlation

Special cause variation

SPSS simple database setup

SPSS simple dataset manipulation

SPSS analysis

SPSS complex data manipulation

SPSS replicable code

Standard deviation

Standard error

Standard Z distribution

Standardised procedures

Standardisation : direct

Standardisation : indirect

Stationarity

Statistical hypotheses

Statistical power

Statistical process control

Statistical significance

Statistical tables

Statistical tests for 2 groups

Stem and Leaf plots

Stratified sampling

Stratification

Students T distribution

Sum of squares

Survey design

Survival curves

Systematic Review

## T

Tables

Taboos of the community (ethics)

TBATS overview

Terminology

Test : One way or two way ANOVA

Test: Bonferonni

Test: Breusch Godfrey

Test : Chi Square

Test : Cochrane's Q

Test : Durbin Watson

Test: Fisher

Test : Friedman

Test : Independent samples t

Test : Kruskal Wallis

Test : Levene

Test : Mann Whitney U

Test : McNemar

Test : Paired samples t

Test : Parallel lines

Test : Repeated measures ANOVA

Test : Scheffe

Test : Tukey

Test : Wilcoxon signed ranks

Time series data - overview

Timeframes

Timeliness in data quality

Triangulation

TREND function (MS Excel)

True effect (of intervention)

True zero in ratio data

Tukey test

Two-tailed hypotheses

Type I errors

Type II errors

## U

Understanding your audience

Uni-variate analysis

## V

Validated measures

Validation sample

Validity

Variables

Variance

Variation

## W

Waterfall projects

Weighting data

White noise

Wilcoxon signed ranks test

Winsorisation

## XYZ

Z distribution

Z score

Z test for means

Z test for proportions

Z transform

## 0-9

2 independent groups - tests

2 related groups - tests

3 or more independent groups - tests

3 or more related groups - tests

3D presentation

95% certainty

95% confidence