Distribution Of tumors

SUMMARY TABLE ALL

SUMMARY TABLE BY TYPE OF TUMOUR

SUMMARY TABLE BY TYPE OF TUMOUR (INDIVIDUAL)

SUMMARY TABLE BY LOCATION

Gender Distribution

The Flipped Bar- plot above shows Counts(X axis) and percentages(annotated within bar) of various categories. The top 2 sub-groups are as follows : 23/40(57.5 %) patients are in sub-group FEMALE 17/40(42.5 %) patients are in sub-group MALE The Full details of distribution is in table below.

AGE DISTRIBUTION

we found a Significant association between age_grp and tumor frequency. The chi-square statistic was 34.56 . The degree of freedom was 18 and P value was 0.01 .Contingency and Proportion table are shown below

DURATION OF SYMPTOMS

PRE-OP FRENKEL SCORES

PREOP_PAIN - VISUAL ANALOG SCALE

DISTRIBUTION OF TUMOUR SITE

GENDER DISTRIBUTION BY DIAGNOSIS

POST OP FRENKEL GRADE DISTRIBUTION

improvement by type of tumour

We find that One-way ANOVA was non-significant for Group effect of tumorsa on deltaFC. In statistical notation it is expressed as F(4,35)=0.36. The  Effect size(Omega -Squared) of this One-way ANOVA  test was 0.115 .

POST OP PAIN SCALE DISTRIBUTION

improvement in Pain by type of tumour

We find that One-way ANOVA was non-significant for Group effect of tumorsa on deltavas. In statistical notation it is expressed as F(4,35)=0.11. The  Effect size(Omega -Squared) of this One-way ANOVA  test was 0.189 .

CORRELATION BETWEEN DURATION OF SYMPTOMS AND IMPROVEMENT IN FRENKEL GRADE

The scatter plot above shows relationship between DURATION_OF_SYMPTOM on X axis and improvement in Frenkel Grade(FC6M - FC0) on Y axis. Graphically, we see that as DURATION_OF_SYMPTOM increases, improvement in Frenkel Grade decreases . On a formal statistical linear regression analysis, we that line of best fit (blue line signifying line with least square difference) also has a negative slope implying a negative correlation. The gray shaded error around blue line signifies 95% confidence interval of linear regression line of best fit. The correlation between two variables is Significant . The Pearson’s correlation between DURATION_OF_SYMPTOM and improvement in Frenkel Grade is -0.45 with 95% Confidence Interval of -0.67 to -0.16. the t statistic is -3.08 The p value is <0.001 .The degree of freedom is 38. In formal statistical notation this expressed as t(38)= -3.11, P= <0.001. r(Pearson) = -0.45 95% C.I. [-0.67–0.16]. n= 40. The correlation is summmarised in table below

CORRELATION BETWEEN TUMOR OCCUPANCY AND IMPROVEMENT IN FRENKEL GRADE

The scatter plots above show relationship between OCCUPANCY on X axis and deltaFC on Y axis. Graphically, we see that as OCCUPANCY increases, deltaFC decreases . On a formal statistical linear regression analysis, we that line of best fit (blue line signifying line with least square difference) also has a negative slope implying a negative correlation. The gray shaded error around blue line signifies 95% confidence interval of linear regression line of best fit. The correlation between two variables is Significant . The Pearson’s correlation between OCCUPANCY and deltaFC is -0.34 with 95% Confidence Interval of -0.59 to -0.03. the t statistic is -2.23 The p value is 0.03 .The degree of freedom is 38. In formal statistical notation this expressed as t(38)= -2.23, P= 0.03. r(Pearson) = -0.34 95% C.I. [-0.59–0.03]. n= 40. The correlation is summmarised in table below

The scatter plots above show relationship between OCCUPANCY on X axis and deltaFC on Y axis. Graphically, we see that as OCCUPANCY increases, deltaFC decreases .
On a formal statistical linear regression analysis, we that line of best fit (blue line signifying line with least square difference) also has a negative slope implying a negative correlation.
The gray shaded error around blue line signifies 95% confidence interval of linear regression line of best fit.
The correlation between two variables is Significant . The Pearson's correlation between OCCUPANCY and deltaFC is -0.34 with 95% Confidence Interval of -0.59 to -0.03. the t statistic is -2.23 The p value is 0.03 .The degree of freedom is 38.
In formal statistical notation this expressed as t(38)= -2.23, P= 0.03. r(Pearson) = -0.34 95% C.I. [-0.59--0.03]. n= 40. The correlation is summmarised in table below

Variation Of VAS with time

This is a trace-plot of variation in Pain Scale (on Y axis) with passage of of time on X-axis , Pain Ratings across various stages are connected by distinct colored trace-line . Individual readings have been plotted on graph and points have been jittered for better clarity . The raw data points representing two groups have different shapes as indicated in the legend. The points across the trace represent the mean readings in two groups and whiskers represent Standard error of measurements.

we can clearly see a negative trend/slope indicating a fall in Pain with passage of Time.we decided to explore this intuitive graphical relationship with formal statistical tests.

Change in Frenkel Grade with Time

This is a trace-plot of variation in Frenkel Grade (on Y axis) with passage of of time on X-axis , Frenkel Grade across various stages are connected by distinct colored trace-line . Individual readings have been plotted on graph and points have been jittered for better clarity . The raw data points representing two groups have different shapes as indicated in the legend. The points across the trace represent the mean readings in two groups and whiskers represent Standard error of measurements.

we can clearly see a negative trend/slope indicating a rise / improvement in Frenkel with passage of Time.we decided to explore this intuitive graphical relationship with formal statistical tests.