Welcome to Lacey Maths & Stats Consultancy's YouTube channel. Through various learning resources, this channel will be about promoting good practice in mathematical and statistical analysis for all levels.

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- ABOUT -
Lacey Maths & Stats Consultancy Co. Ltd was founded in 2011. The company’s main body of work is two-fold:

1. Consultancy
Lead statistician on clinical trial/non-intervention studies.

2. Statistical Training Courses
Provide statistical training tailored to client needs with a strong emphasis on good practice in statistical analysis. The training courses are predominantly computer based using software packages such as Minitab, MS Excel, NVivo, RStudio and SPSS.


Plot of Effect Sizes from Pairwise Comparisons
7:58
Plot of Effect Sizes from Pairwise Comparisons
Effect size of Pairwise Comparisons using emmeans
13:21
Effect size of Pairwise Comparisons using emmeans
Generating a Randomisation Schedule
11:05
Generating a Randomisation Schedule
Interaction plots in ggplot2
10:58
Interaction plots in ggplot2
Estimated Marginal Means in ggplot2
11:12
Estimated Marginal Means in ggplot2
Spaghetti plots in ggplot2
9:29
Spaghetti plots in ggplot2
Highlighting boxplots in ggplot2
16:34
Highlighting boxplots in ggplot2
Labelling outliers in ggplot2
8:26
Labelling outliers in ggplot2
Boxplots in ggplot2
23:56
Boxplots in ggplot2
Histograms in ggplot2
25:22
Histograms in ggplot2
Incremental Area Under the Curve
8:31
Incremental Area Under the Curve
Repeated Measures ANOVA & Linear Mixed Models in RStudio
13:39
Repeated Measures ANOVA & Linear Mixed Models in RStudio
Hypotheses, Level of Significance and p-values
19:26
Hypotheses, Level of Significance and p-values
Summarising a Linear Model Selection Process in RStudio
16:47
Summarising a Linear Model Selection Process in RStudio
Presenting Multiple Linear Regression Analysis Results in RStudio
23:57
Presenting Multiple Linear Regression Analysis Results in RStudio
Presenting Simple Linear Regression Analysis Results in RStudio
14:14
Presenting Simple Linear Regression Analysis Results in RStudio
F-ratio calculation in Excel (Randomised Block Design)
18:04
F-ratio calculation in Excel (Randomised Block Design)
F-ratio calculation in Excel (Two-Way ANOVA)
22:00
F-ratio calculation in Excel (Two-Way ANOVA)
F-ratio calculation in Excel (One-Way ANOVA)
15:49
F-ratio calculation in Excel (One-Way ANOVA)
Power Analysis in G*Power & RStudio (RM ANOVA)
29:01
Power Analysis in G*Power & RStudio (RM ANOVA)
Power Analysis in G*Power & RStudio (t-test)
25:50
Power Analysis in G*Power & RStudio (t-test)
Using Custom Tables in SPSS
25:27
Using Custom Tables in SPSS
Chi-squared test on NVivo data
18:10
Chi-squared test on NVivo data
Incremental Area Under the Curve (iAUC)
16:28
Incremental Area Under the Curve (iAUC)
Summarising paired samples t-test and Wilcoxon test results in RStudio
14:01
Summarising paired samples t-test and Wilcoxon test results in RStudio
Summarising independent samples t-test and Mann-Whitney U-test results in RStudio
17:20
Summarising independent samples t-test and Mann-Whitney U-test results in RStudio
Summarising one-sample t-test and Wilcoxon test results in RStudio
26:03
Summarising one-sample t-test and Wilcoxon test results in RStudio
Checking homogeneity of variances, sphericity and writing RStudio results to Excel
14:30
Checking homogeneity of variances, sphericity and writing RStudio results to Excel
Checking normality of measurements in RStudio
17:45
Checking normality of measurements in RStudio
SPSS Syntax to format dataset and reorder negatively worded questions before a Factor Analysis
22:24
SPSS Syntax to format dataset and reorder negatively worded questions before a Factor Analysis