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- 09 Jun 2023
- Blog Post
Learning Curve
career in the field but instead found herself in quasi-retirement at age 35. “Life has a way of getting in the way,” she notes. Melcher’s first child, Katie, struggled in preschool with learning disabilities, and Melcher made the decision... View Details
- 08 Sep 2022
- News
Learning Curve
Courtesy Patti Melcher Patti Melcher (MBA 1986) never intended to open a school but when her first child, Katie, struggled with learning disabilities, the private equity strategist turned her attention to finding the best View Details
- 02 Dec 2021
- News
Learning Curve
team. She envisioned a long career in the field but instead found herself in quasi-retirement at age 35. “Life has a way of getting in the way,” she notes. Melcher’s first child, Katie, struggled in preschool with learning disabilities,... View Details
- January 1982
- Background Note
Learning Curve
Sandretto, Michael J. "Learning Curve." Harvard Business School Background Note 182-130, January 1982.
- 13 Jun 2013
- News
Learning Curve
Marshall Tuck with kids Photo courtesy of Marshall Tuck Marshall Tuck's exciting new job had a rough start. Selected in late 2006 to head a turnaround of the Los Angeles Unified School District, Tuck (MBA 2000) saw his position evaporate a week before the start date,... View Details
- 14 May 2012
- News
Learning curve
- 22 Feb 2022
- News
Vision: Learning Curve
poverty,” Gupta says. What they lack are the awareness, the information, and the tools required to take a more active role in supporting their children’s early cognitive development—all of which are gaps that Rocket Learning aims to fill.... View Details
- 27 Apr 2017
- News
Trump's steep learning curve
- 01 Dec 2011
- News
Up the Learning Curve
- November 2015
- Article
Influence of Experience and the Surgical Learning Curve on Long-term Patient Outcomes in Cardiac Surgery
By: Bryan M. Burt, Andrew W. ElBardissi, Robert S. Huckman, Lawrence H. Cohn, Marisa W. Cevasco, James D. Rawn, Sary F. Aranki and John G. Byrne
OBJECTIVE: We hypothesized that increased post-graduate surgical experience correlates with improved operative efficiency and long-term survival in standard cardiac surgery procedures.
METHODS: Utilizing a prospectively collected retrospective database,... View Details
METHODS: Utilizing a prospectively collected retrospective database,... View Details
Keywords: Service Delivery; Value; Health Care and Treatment; Experience and Expertise; Health Industry
Burt, Bryan M., Andrew W. ElBardissi, Robert S. Huckman, Lawrence H. Cohn, Marisa W. Cevasco, James D. Rawn, Sary F. Aranki, and John G. Byrne. "Influence of Experience and the Surgical Learning Curve on Long-term Patient Outcomes in Cardiac Surgery." Journal of Thoracic and Cardiovascular Surgery 150, no. 5 (November 2015): 1061–1067.
- January 2021
- Article
Machine Learning for Pattern Discovery in Management Research
By: Prithwiraj Choudhury, Ryan Allen and Michael G. Endres
Supervised machine learning (ML) methods are a powerful toolkit for discovering robust patterns in quantitative data. The patterns identified by ML could be used for exploratory inductive or abductive research, or for post-hoc analysis of regression results to detect... View Details
Keywords: Machine Learning; Supervised Machine Learning; Induction; Abduction; Exploratory Data Analysis; Pattern Discovery; Decision Trees; Random Forests; Neural Networks; ROC Curve; Confusion Matrix; Partial Dependence Plots; AI and Machine Learning
Choudhury, Prithwiraj, Ryan Allen, and Michael G. Endres. "Machine Learning for Pattern Discovery in Management Research." Strategic Management Journal 42, no. 1 (January 2021): 30–57.
- August 2020 (Revised September 2020)
- Technical Note
Assessing Prediction Accuracy of Machine Learning Models
The note introduces a variety of methods to assess the accuracy of machine learning prediction models. The note begins by briefly introducing machine learning, overfitting, training versus test datasets, and cross validation. The following accuracy metrics and tools... View Details
Keywords: Machine Learning; Statistics; Econometric Analyses; Experimental Methods; Data Analysis; Data Analytics; Forecasting and Prediction; Analytics and Data Science; Analysis; Mathematical Methods
Toffel, Michael W., Natalie Epstein, Kris Ferreira, and Yael Grushka-Cockayne. "Assessing Prediction Accuracy of Machine Learning Models." Harvard Business School Technical Note 621-045, August 2020. (Revised September 2020.)
- February 2021
- Tutorial
Assessing Prediction Accuracy of Machine Learning Models
By: Michael Toffel and Natalie Epstein
This video describes how to assess the accuracy of machine learning prediction models, primarily in the context of machine learning models that predict binary outcomes, such as logistic regression, random forest, or nearest neighbor models. After introducing and... View Details
- 13 Jun 2005
- Research & Ideas
From Turf Wars to Learning Curves: How Hospitals Adopt New Technology
influential…, PTCA has been used less frequently than in hospitals with less influential surgeons." And even if PTCA and other innovations make it past initial gatekeepers, it's a long road to adoption because of learning View Details
- 2022
- Working Paper
The Fed and the Secular Decline in Interest Rates
In this paper I document a striking fact: a narrow window around Fed meetings fully captures the secular decline in U.S. Treasury yields since 1980. By contrast, yield movements outside this window are transitory and wash out over time. This is surprising because the... View Details
Keywords: United States Treasury; Monetary Policy; Yield Curve; Central Banking; Interest Rates; Valuation
Hillenbrand, Sebastian. "The Fed and the Secular Decline in Interest Rates." Working Paper, January 2022.
- 09 Nov 2016
- Blog Post
Learning from Classmates at HBS
I was at a point in my career where the learning curve had flattened, and I wanted to push myself to a higher level both personally and professionally. While at HBS I’ve been so amazed by the connections... View Details
- 22 May 2020
- News
What Hospitals Overwhelmed by Covid-19 Can Learn From Startups
- 13 Nov 2020
- News
New Virtual Classrooms Expand Digital Learning
classroom experience has everything to do with the level of interactivity between faculty and students, and these virtual classrooms provide a better online experience.” Students log in from their respective computers all over the world and, through a custom interface,... View Details
- September 2009
- Article
A Detailed Analysis of the Reduction Mammaplasty Learning Curve: A Statistical Process Model for Approaching Surgical Performance Improvement
By: Matthew Carty MD, Rodney Chan, Robert S. Huckman, Daniel C. Snow and Dennis Orgill
Background: The increased focus on quality and efficiency improvement within academic surgery has met with variable success among plastic surgeons. Traditional surgical performance metrics, such as morbidity and mortality, are insufficient to improve the... View Details
Keywords: Experience and Expertise; Health Care and Treatment; Medical Specialties; Outcome or Result; Performance Efficiency; Performance Improvement
Carty, Matthew, MD, Rodney Chan, Robert S. Huckman, Daniel C. Snow, and Dennis Orgill. "A Detailed Analysis of the Reduction Mammaplasty Learning Curve: A Statistical Process Model for Approaching Surgical Performance Improvement." Plastic and Reconstructive Surgery 124, no. 3 (September 2009): 706–714.