Joel Tellinghuisen
Affiliations: | Chemistry | Vanderbilt University, Nashville, TN |
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| Tellinghuisen J. (2020) Least Squares Methods for Treating Problems with Uncertainty in x and y. Analytical Chemistry |
| Tellinghuisen J. (2020) Critique of the pairwise method for estimating qPCR amplification efficiency: beware of correlated data! Bmc Bioinformatics. 21: 291 |
| Tellinghuisen J, Spiess AN. (2019) qPCR data analysis: Better results through iconoclasm. Biomolecular Detection and Quantification. 17: 100084 |
| Tellinghuisen J. (2019) Calibration: Detection, Quantification, and Confidence Limits Are (Almost) Exact When the Data Variance Function is Known. Analytical Chemistry |
| Tellinghuisen J. (2018) Critique of methods for estimating heats in isothermal titration calorimetry. Analytical Biochemistry |
| Tellinghuisen J. (2018) Least-Squares Analysis of Data with Uncertainty in y and x: Algorithms in Excel and KaleidaGraph Journal of Chemical Education. 95: 970-977 |
| Tellinghuisen J. (2016) Partition Volume Variability in Digital Polymerase Chain Reaction Methods: Polydispersity Causes Bias but Can Improve Precision. Analytical Chemistry. 88: 12183-12187 |
| Tellinghuisen J. (2016) Analysis of multitemperature isothermal titration calorimetry data at very low c: Global beats van't Hoff. Analytical Biochemistry. 513: 43-46 |
| Tellinghuisen J. (2016) A direct potential fitting RKR method: Semiclassical vs. quantal comparisons Journal of Molecular Spectroscopy. 330: 20-27 |
| Tellinghuisen J, Spiess AN. (2015) Bias and imprecision in analysis of real-time quantitative polymerase chain reaction data. Analytical Chemistry. 87: 8925-31 |