William Cheang, PhD’s Post

⌛️Influence of time step (Δt) on Euler Forward Integration: https://lnkd.in/d5SvFGU4 Use sliders to change Δt and λ* 🔵Analytical solution with adjustable parameter λ* 🔴Numerical approximation with adjustable Δt ⚫️Isotropic compr. test data #AnimatingSoilModels using @geogebra🙏

A histogram serves as a powerful tool for visually representing the distribution of both categorical and continuous variables, offering insights into the frequency distribution within a dataset. #prodigyinfotech

Ordered Logistic or Probit Regression Use polr (MASS) With (In) R Software https://ln.run/polr Generalized bivariate ordinal regression model Use bicop With STATA 18 Fitting bivariate ordinal regressions with residual dependence characterised by a copula function and normal mixture marginals Use bicop With STATA 18 https://ln.run/bicop

Prodigy Task 1: We were given with the sample dataset and asked to Create a bar chart or histogram to visualize the distribution of a categorical or continuous variable

Lately I've been exploring causal survival analysis. The simsurv R package has been a gamechanger. Why? It simplifies simulating survival data. This means I can test out different distributions and complex covariate relationships. I can also explore different hazard functions and time-dependent effects. The vignettes are super helpful as well! I've been able to deepen my understanding of time-to-event data using simsurv. Highly recommend if you're working with time-to-event data! Or if you're just curious about methods for survival data. #CausallyCurious #RealWorldEvidence #CausalInference #RealWorldData [Link: https://lnkd.in/e8xfuBuN]

Now you can do supervised scRNA-Seq analysis in SciDAP!

💫How to check the process spread through histogram📈 🧩Collect data Organize the data from processing into regular bins or classifications along the x-axis. 📈Plot the frequency of the data point. Plot on the y-axis for frequency, data points that fall into every bin against their frequencies or counts. 🔷Analyze the shape When you see many peaks, it implies that different elements affect your product. A histogram that appears flat means that measurements are not being done properly 🔛Measure the dispersion.  Use range (difference between highest and lowest values) or standard deviation to measure dispersion. 📊Compare the process  Assess process for purposes of determining process capability. #ProcessSpread #Histogram #SwadesQMS

#Survival_Analysis Part I: Basic concepts and first analyses To learn decision analytic models like decision trees and Markov models in a one-to-one setting:https://lnkd.in/dqTpcvTM.

🔍 Exploring Beyond Average Treatment Effects: Quantile Regression for A/B Testing 🎯 How quantile regression can complement ATE estimation to reveal valuable insights beyond the average. From simulating user interactions with impressions and clicks to estimating treatment effects at various quantiles, this approach offers a more nuanced view of policy impact.